Evidence map›Paper›PMID 40528976›Full record

ArticleFundamental research2025

Investigating the central place theory using trajectory big data.

Pengjun Zhao, Haoyu Hu, Zhao Yu

Abstract read
In one paragraph

Article in Fundamental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Pengjun ZhaoCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Haoyu HuCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Zhao YuFaculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human settlement system is central to land use, infrastructure development, and environmental impacts. Although central place theory (CPT) was proposed about 90 years ago and has been extensively examined by many researchers, to what extent CPT can explain the current rural settlement system in the changing age of informatization and geospatial reconstruction remains to be explored. This paper aims to contribute fresh evidence for settlement systems and examine the applicability of CPT's quantitative laws by using the trajectory data of 2.0362 billion trips from 37.53 million mobile phone users in China's Jing-Jin-Ji region (218,000 km

Indexed as

Big dataCentral place theoryChinaMobile phone dataSettlement system

Identifiers

PMID40528976
PMCPMC12167904

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.